Results 31 to 40 of about 10,363,966 (256)
An Efficient Soft Set-Based Approach for Conflict Analysis. [PDF]
PLoS ONE, 2016 Conflict analysis has been used as an important tool in economic, business, governmental and political dispute, games, management negotiations, military operations and etc.
Edi Sutoyo +3 more
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The Parameter Reduction of Fuzzy Soft Sets Based on Soft Fuzzy Rough Sets
Advances in Fuzzy Systems, 2013 Fuzzy set theory, rough set theory, and soft set theory are three effective mathematical tools for dealing with uncertainties and have many wide applications both in theory and practise. Meng et al.
Zhiming Zhang
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On Topological Properties of IF Approximation Spaces
Fuzzy Information and Engineering, 2015 Rough approximation operators in approximation spaces are the core concept of rough set theory, which draw close links between rough set theory and topology.
Ning-Xin Xie
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Slime Mould Games Based on Rough Set Theory
International Journal of Applied Mathematics and Computer Science, 2018 We define games on the medium of plasmodia of slime mould, unicellular organisms that look like giant amoebae. The plasmodia try to occupy all the food pieces they can detect. Thus, two different plasmodia can compete with each other.
Pancerz Krzysztof, Schumann Andrew
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Three-Way Fuzzy Sets and Their Applications (II)
Axioms, 2022 Recently, the notion of a three-way fuzzy set is presented, inspired by the basic ideas of three-way decision and various generalized fuzzy sets, including lattice-valued fuzzy sets, partial fuzzy sets, intuitionistic fuzzy sets, etc.
Jingqian Wang +2 more
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, 2008 Rough set theory (RST), since its introduction in Pawlak (1982), continues to develop as an effective tool in classification problems and decision support. In the majority of applications using RST based methodologies, there is the construction of ‘if ..
Beynon, Malcolm James, Malcolm J. Beynon
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Feature Selection In Document Clustering Using Rough Set Theory [PDF]
Journal of the ACS Advances in Computer Science, 2007 One fundamental aspect of rough set theory is the search of subsets of attributes that provide the same information for classification purposes as the full set of attributes. In this paper, application of rough set theory to feature selection in document
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REDUCING ATTRIBUTES of FACEBOOK USERS USING ROUGH SET THEORY [PDF]
International Journal of Intelligent Computing and Information Sciences, 2016 Using social networks have become one of the daily activities that billions of peoples around the world do. So, great research efforts had been done to analyze and understand these virtual communities.
W. Abdallah, S. Sarhan, Samir Elmougy
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FEBS Letters, EarlyView.CT10 regulator of kinase (CRK) and CRK‐Like (CRKL) are signaling adaptors driving cell adhesion, motility, differentiation, and proliferation. SH2‐domain containing (SH) proteins are enriched in YXXP motifs which when phosphorylated create preferred binding sites for CRK family SH2 domains.
Phoebe M. Cousens +8 more
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Two kinds of average approximation accuracy
CAAI Transactions on Intelligence TechnologyRough set theory places great importance on approximation accuracy, which is used to gauge how well a rough set model describes a target concept. However, traditional approximation accuracy has limitations since it varies with changes in the target ...
Qingzhao Kong +3 more
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